Evidencing of multiplicative cascading and intermittency in real/synthetic oceanographic signals: application to the evaluation of ocean dynamics
Résumé
Most existing methods in analyzing motion in Computer Vision do not take into account key features of ocean dynamics: turbulence and intermittency, which contribute importantly to the shape and motion of observed and acquired coherent structures. Besides, the specificities of these remotely sensed acquisitions (Sea Surface Temperature, chlorophyll a concentration) lead to question the pertinence of existing Computer Vision approaches to analyze motion in these types of image sequences. To compute the motion field at high resolution associating the Microcanonical Multiscale Formalism (MMF) [1] and the Microcanonical Cascade (MC) [2], one needs to give prominence to the intermittency and cascade properties observed in SST Modis data and/or synthetic signals from an ocean model. We propose here to evaluate the ocean dynamics with respect to intermittency/cascading properties evaluation for data acquired by satellites or synthetic data coming from a simulation model. We then apply the combination of MMF and MC to obtain high resolution (4km) motion fields [3]. References [1] A. Turiel, H. Yahia and C. Perez-Vicente, 2008 Microcanonical Multifractal Formalism: a geometrical approach to multifractal systems. Part I: Singularity Analysis Journal of Physics A 41:015501. [2] C. Pottier, A. Turiel, V. Garçon, 2008, Inferring missing data in satellite chlorophyll maps using turbulent cascading, Remote Sensing of Environnement, 112,4242-4260, 10.1016/j.rse.2008.07.010 [3] H. Yahia, J. Sudre, C. Pottier and V. Garçon, 2010, Motion analysis in oceanographic satellite images using multiscale methods and the energy cascade, Pattern Recognition, DOI: 10.1016/J.patcog.2010.04.011